DocumentCode :
3261375
Title :
Modelling of fuzzy logic controller for variable-step MPPT in photovoltaic system
Author :
Roy, C.P. ; Vijaybhaskar, D. ; Maity, Tanmoy
Author_Institution :
Dept. of Electr. Eng., Indian Sch. of Mines, Dhanbad, India
fYear :
2013
fDate :
6-8 Dec. 2013
Firstpage :
341
Lastpage :
346
Abstract :
The output power of photovoltaic electrical systems is highly dynamic and non-linear in nature. In order to extract maximum power from such systems, maximum power point tracking (MPPT) technique is required. MPPT techniques with variable step-size of perturbation track the maximum power point (MPP) with more efficiency. In this paper, a model of a fuzzy logic controller (FLC) for determining the step-size of perturbation in duty-cycle of a photovoltaic electrical system to track MPP is presented and its result is compared with a classical method of exponential approximation in MATLAB/Simulinke.
Keywords :
fuzzy control; maximum power point trackers; photovoltaic power systems; power generation control; FLC; fuzzy logic controller modelling; maximum power point tracking; photovoltaic electrical systems; photovoltaic system; variable-step MPPT technique; Fuzzy logic; Mathematical model; Maximum power point trackers; Photovoltaic systems; Resistance; Software packages; Maximum power point tracking; boost converter; exponential approximation; fuzzy logic control; membership function; perturb and observe;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Condition Assessment Techniques in Electrical Systems (CATCON), 2013 IEEE 1st International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4799-0081-7
Type :
conf
DOI :
10.1109/CATCON.2013.6737524
Filename :
6737524
Link To Document :
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